webp-server
gocv
| webp-server | gocv | |
|---|---|---|
| - | 14 | |
| 73 | 6,747 | |
| - | 1.0% | |
| 0.0 | 9.0 | |
| almost 4 years ago | 10 days ago | |
| Go | Go | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
webp-server
We haven't tracked posts mentioning webp-server yet.
Tracking mentions began in Dec 2020.
gocv
- Cylon: JavaScript framework for robotics, drones, and the Internet of Things
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GoCV 0.36 has just been released, no fooling
- Updated Docker images with OpenCV
https://github.com/hybridgroup/gocv/releases/tag/v0.36.0
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How can I install gocv?
- Installing from source gives me E: Unable to locate package libdc1394-22-dev
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Using GoCV to extract snapshots from IP-camera videostream
Can anyone guess if its possible to e.g. use - https://github.com/hybridgroup/gocv - permanently monitor the network stream via address e.g. http://192.169.178.20/action/stream?subject=mjpeg&user=user&pwd=secret - Generate/Extract a snapshot as image if configured items are detected e.g.: humans, cats, cars, dogs
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Can I build projects in Go without knowing front-end/client development?
But if you want to have something to show: I've played around with https://gocv.io/ and was quite impressed what this library can do with the video input from your camera input.
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Is the opencv4 binding more efficient than python?
I have just found the gocv package. I have a video analyzer program written in python, however im thinking about rewriting on golang for optimizing the execution time. Its a good idea or its better to just use the phyton one.
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Image manipulation with Go
https://github.com/hybridgroup/gocv has openCV bindings.
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GoCV on the yolo Darknet model
I am working on a custom model, I have been through this example to apply it on my use case but the output I get has random detection from perform detection, how do I work with gocv.Mat structure and is there any example with yolo darknet model? Any help is appreciated if you can direct me to right resources where I can better understand how the output mat is to be parsed to get the box! Thanks in advance!
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Anyone interested in helping me build a object detection with Tensorflow + Golang
I think https://github.com/hybridgroup/gocv accepts tensorflow model format, why not use that?
- Recommendations for building a reverse image search engine
What are some alternatives?
steganography - Pure Golang Library that allows LSB steganography on images using ZERO dependencies
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
picfit - An image resizing server written in Go
resize - Pure golang image resizing
tga
go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv
go-webp - Simple and fast webp library for golang
pigo - Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
go-nude - Nudity detection with Go.
imaging - Imaging is a simple image processing package for Go
bild - Image processing algorithms in pure Go
smartcrop - smartcrop finds good image crops for arbitrary crop sizes